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Responsibilities The objective of this post is to offer interdisciplinary training to individuals interested in utilizing cognitive neuroscience and machine learning techniques to study learning, cognitive
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- “Risk-aware machine learning systems for safety and quality-critical applications”. He/She will carry out research in the area of machine learning (ML) and data science, and also be required to: (a
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- “Tackling diversity, equality and inclusion challenges using a machine learning approach”. Qualifications Applicants should have a doctoral degree with at least three years of postdoctoral research experience
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and energy materials. Preference will be given to those with knowledge of computer programming, AI or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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- “The structural evolution of the Chinese aviation network during and after the pandemic: a machine learning-based approach”. He/she will be required to: (a) conduct high-quality research in the field
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of English and good communication skills. Preference will be given to those with relevant teaching experience in tertiary institutions, or knowledge of data analytics, machine learning as well as accounting
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closely related data-analytics discipline. The Faculty is particularly interested in those who conduct high-quality scholarly research and are able to teach courses in business analytics, machine learning
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“expected output index” worldwide in Electrical and Electronic Engineering by Times Higher Education World University Rankings 2018. Duties Teach and supervise student projects at both undergraduate and
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data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
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. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have